gemma-4-31b-it-qat

gemma4 · 31B · Q4_K_XL

ECO MODE

ASUS (AMD Ryzen 7 7800X3D 8-Core Processor)

31 GB · cachyos rolling

Tested on July 7, 2026

Top 5% Compare

Global Score

91 /100

Excellent

Hardware Fit

89/100

Quality

92/100

Get this model

Get it in LM Studio

Search and download models directly from the app

🤗

Find on HuggingFace

MLX versions & conversions

Hardware

Machine: ASUS
CPU: AMD Ryzen 7 7800X3D 8-Core Processor
Cores: 16 threads (8 cores)
Frequency: 2.62 GHz
RAM: 31 GB
GPU: NVIDIA GeForce RTX 4090, Raphael
OS: cachyos rolling
Arch: x64
Power Mode: low-power

Performance

Tokens/sec Tokens generated per second — higher is better: 40.2
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±4.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 3 ms
Time to first token How fast the model starts responding — lower is better: 302 ms
Load time Time to load the model into memory before inference: N/A
Memory usage RAM consumed during inference — percentage of total system memory: 18.8 GB (62%)
Total tokens Total number of tokens generated across all benchmark prompts: 1362

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

19/30

Quality

Reasoning

19/20

Coding

18/20

Instruction following

17/20

Structured output

15/15

Math

14/15

Multilingual

9/10

Category levels

Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: LM Studio
Model format: GGUF
Hardware profile: BALANCED
Result hash: 534b459f8972f02780c3f173b452519fee173c806106ad2f6320d430e78fad13

Interpretation

Hardware fit: 89/100. Overall suitability: EXCELLENT (Global 91/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Warnings

Model memory footprint is estimated via LM Studio CLI rather than measured from a fresh load.
System was in low-power mode during this benchmark.

Bench Environment

Thermal: nominal CPU load: avg 8% (peak 10%)

Run yours now

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest